Journal of Engineering Education Transformations

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Facilitating Learner Centric Decision Making for Massive Open Online Courses


     

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Learners opt for MOOCs as it provides multiple benefits and the most important being that these courses can be accessed anytime and from anywhere with internet access. Learners can study their desired course at their convenience of time and desired pace. But as there are multiple options for them, they may get confused about selecting a course. This study highlights the findings of implementing the Analytical Hierarchical Process (AHP), a Multiple Criteria Decision Making (MCDM) technique used to choose the best option in case of multiple alternatives. Attributes were selected from literature and a survey was administered to learners. Responses were analyzed and courses were ranked based on their scores. From the analysis, we interpret that usefulness of the course in the University Curriculum is the most preferred criteria while selecting the course.

Keywords

MOOC, Multiple Criteria Decision Making, Analytical Hierarchical Process.
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  • Alexander, M. (2012). Decision-Making using the Analytic Hierarchy Process (AHP). International Journal of Scientific Research, 3(6), 135–136. https://doi.org/10.15373/22778179/june2014/47

  • Chen, D., Feng, Y., Zhao, Z., Jiang, J., & Yu, J. (2014). Does MOOC really work effectively. Proceedings of the 2014 IEEE International Conference on MOOCs, Innovation and Technology in Education, IEEE MITE 2014, 272–277. https://doi.org/10.1109/MITE.2014.7020287

  • Chosy Yuda Sakti, Kelly Rossa Sungkono, & Riyanarto Sarno. (2019). Determination of Hospital Rank by Using Analytic Optimization on the Basis of Ratio Analysis. 178–183.

  • Gandhi, S., Mangla, S. K., Kumar, P., & Kumar, D. (2016). A combined approach using AHP and DEMATEL for evaluating success factors in implementation of green supply chain management in Indian manufacturing industries. International Journal of Logistics Research and Applications, 19(6), 537–561. https://doi.org/10.1080/13675567.2016.1164126

  • Gené, O. B., Núñez, M. M., & Blanco, Á. F. (2014). Gamification in MOOC. 215–220. https://doi.org/10.1145/2669711.2669902

  • Harrold, J. W., & Sandland, J. (2018). The Influence of Immediate Homework Feedback on Student Performance and Satisfaction in an Engineering MOOC. Proceedings of 2018 Learning With MOOCS, LWMOOCS 2018, September, 90–93. https://doi.org/10.1109/LWMOOCS.2018.8534 592

  • Kuruoglu, E., Guldal, D., Mevsim, V., & Gunvar, T. (2015). Which family physician should I choose? The analytic hierarchy process approach for ranking of criteria in the selection of a family physician. BMC Medical Informatics and Decision Making, 15(1), 1–8. https://doi.org/10.1186/s12911-015-0183-1

  • Lucy Bodenham. (2019). The advantages of learning via MOOCs. University of London. https://london.ac.uk/news-opinion/london-connection/feature/advantages-learning-moocs

  • Obeidat, M. S., Qasim, T., & Khanfar, A. (2018). Implementing the AHP multi-criteria decision approach in buying an apartment in Jordan. Journal of Property Research, 35(1), 53–71https://doi.org/10.1080/09599916.2017.1413588

  • Saaty, T. L. (1984). The Analytic Hierarchy Process: Decision Making in Complex Environments. Quantitative Assessment in Arms Control, 285–308. https://doi.org/10.1007/9781-4613-2805-6_12

  • Sachdeva, A., Singh, P. K., & Sharma, A. (2016). MOOCs: A comprehensive study to highlight its strengths and weaknesses. Proceedings of the 2015 IEEE 3rd International Conference on MOOCs, Innovation and Technology in Education, MITE 2015, 365–370. https://doi.org/10.1109/MITE.2015.7375346

  • Shrivastava, A., Hasteer, N., & Soni, K. M. (2019). Perspectives on Curriculum Inclusive MOOCs for Engineering Education: Reflection & Learning. Proceedings - IEEE 10th International Conference on Technology for Education, T4E 2019, 34–37. https://doi.org/10.1109/T4E.2019.00015

  • Shrivastava, A., Hasteer, N., & Soni, K. M. (2021). Implications of the Intertwined Effects of Curriculum Inclusive MOOCs. 11(6). https://doi.org/10.18178/ijiet.2021.11.6.1525

  • Singh, P. K., Nand, P., & Gandhi, I. (2014). MOOCS : The Paradigm-shift in Indian Education. 317–320.


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  • Facilitating Learner Centric Decision Making for Massive Open Online Courses

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Authors

Abstract


Learners opt for MOOCs as it provides multiple benefits and the most important being that these courses can be accessed anytime and from anywhere with internet access. Learners can study their desired course at their convenience of time and desired pace. But as there are multiple options for them, they may get confused about selecting a course. This study highlights the findings of implementing the Analytical Hierarchical Process (AHP), a Multiple Criteria Decision Making (MCDM) technique used to choose the best option in case of multiple alternatives. Attributes were selected from literature and a survey was administered to learners. Responses were analyzed and courses were ranked based on their scores. From the analysis, we interpret that usefulness of the course in the University Curriculum is the most preferred criteria while selecting the course.

Keywords


MOOC, Multiple Criteria Decision Making, Analytical Hierarchical Process.

References





DOI: https://doi.org/10.16920/jeet%2F2022%2Fv35i3%2F22095